RuView
RuView transforms ordinary WiFi signals into real-time human sensing without cameras or wearables. Using Channel State Information (CSI) from low-cost ESP32 sensors, it detects people through walls, monitors vital signs like breathing and heart rate, and estimates body pose — all on edge hardware with zero cloud dependency.
Key Features
- WiFi-based pose estimation: Captures 17 COCO keypoints from radio signals using the WiFlow architecture, trained entirely without cameras
- Vital sign monitoring: Contactless detection of breathing rate (6-30 BPM) and heart rate (40-120 BPM) through walls and in darkness
- Presence and occupancy detection: Identifies people, counts room occupancy, and tracks entries/exits with 100% accuracy and 0.012ms latency
- Activity recognition: Classifies walking, sitting, gestures, falls, and sleep stages from temporal CSI patterns
- Real-time 3D point clouds: Fuses camera depth, WiFi CSI, and mmWave radar into unified spatial models
- Edge intelligence: Runs entirely on ESP32 mesh ($9/node) with spiking neural networks that adapt in under 30 seconds
Use Cases
- Smart home monitoring: Occupancy-aware automation, fall detection, and room-level activity recognition without cameras
- Healthcare and assisted living: Contactless vital sign monitoring, sleep quality assessment, and apnea screening for elderly care
- Security and access control: Through-wall presence detection, perimeter monitoring, and intrusion alerts across multiple rooms
- Research and RF sensing: WiFi-based human sensing platform for academic projects and novel signal processing applications
Who Is It For
RuView is designed for developers, researchers, and organizations building privacy-first sensing systems that require real-time human activity and vital sign monitoring without video capture. It's ideal for smart home automation, healthcare applications, security systems, and anyone exploring WiFi-based RF sensing on resource-constrained edge devices.
